CN1047997C - Elevator grouping management control method - Google Patents
Elevator grouping management control method Download PDFInfo
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- CN1047997C CN1047997C CN95102914A CN95102914A CN1047997C CN 1047997 C CN1047997 C CN 1047997C CN 95102914 A CN95102914 A CN 95102914A CN 95102914 A CN95102914 A CN 95102914A CN 1047997 C CN1047997 C CN 1047997C
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B1/00—Control systems of elevators in general
- B66B1/02—Control systems without regulation, i.e. without retroactive action
- B66B1/06—Control systems without regulation, i.e. without retroactive action electric
- B66B1/14—Control systems without regulation, i.e. without retroactive action electric with devices, e.g. push-buttons, for indirect control of movements
- B66B1/18—Control systems without regulation, i.e. without retroactive action electric with devices, e.g. push-buttons, for indirect control of movements with means for storing pulses controlling the movements of several cars or cages
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B1/00—Control systems of elevators in general
- B66B1/24—Control systems with regulation, i.e. with retroactive action, for influencing travelling speed, acceleration, or deceleration
- B66B1/2408—Control systems with regulation, i.e. with retroactive action, for influencing travelling speed, acceleration, or deceleration where the allocation of a call to an elevator car is of importance, i.e. by means of a supervisory or group controller
- B66B1/2416—For single car elevator systems
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B2201/00—Aspects of control systems of elevators
- B66B2201/20—Details of the evaluation method for the allocation of a call to an elevator car
- B66B2201/211—Waiting time, i.e. response time
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B2201/00—Aspects of control systems of elevators
- B66B2201/20—Details of the evaluation method for the allocation of a call to an elevator car
- B66B2201/216—Energy consumption
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B2201/00—Aspects of control systems of elevators
- B66B2201/40—Details of the change of control mode
- B66B2201/403—Details of the change of control mode by real-time traffic data
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- Engineering & Computer Science (AREA)
- Automation & Control Theory (AREA)
- Elevator Control (AREA)
Abstract
An improved group management control method for an elevator capable of efficiently performing a group management control of an elevator based upon the building condition by deciding a corresponding car to be allocated in accordance with a predetermined hall call based upon a traffic flow and the fuzzy theory which are differ from the characteristics of each building, which includes the steps of a traffic flow collecting step; a traffic flow study step; a traffic flow anticipating step; a specific mode judgement step; an allocation control strategy establishment step; a comprehensive evaluation function operation step; an allocation possible car selection step; a control item value operation step; and an allocated car decision step for deciding a car based upon a predetermined estimated rule.
Description
The present invention relates to the grouping management control method of elevator, the grouping management control method that particularly relates to a kind of improved elevator, the grouping management control that it can come to carry out effectively according to the condition of building elevator based on the corresponding car that passenger flow and the fuzzy theory that is different from every building building feature are assigned with according to predetermined floor call decision.
Usually, the control of the grouping management of elevator usually is meant the operation of control elevator under the controlled condition of regulation.Its main objective is the marquis's time such as grade that is reduced in each floor, improves the calling ratio of expection, makes each car lifting capacity maximum, and reduces electric power consumption valuably.
Here, the calling of expection is than being defined as after the predetermined floor call of predetermined floor according to floor call the ratio between the operation of cooresponding car reality and the operation of its expection.
In addition, floor call is defined as the calling of calling out predetermined car on predetermined floor, and car call be defined as in elevator at the floor descending stair that requires by a predetermined button.
In order to satisfy above condition, the function of the grouping management of elevator control is generally by floor call distribution function, distributed control functions, presentation control function, and forms based on the suitability controllable function of shipping conditions change.
In the floor distribution function, the method that a kind of prediction of the information of transporting according to the past and current band statistics may passenger flow is used.Here, passenger flow is defined in the distribution that each layer entered and/or left the passenger of car.More accurate passenger flow estimation is comply with the condition in the building, and that building elevator may also not managed well.
Also have, although correct statistical value decision elevator best performance, because unexpected transportation obstruction and unexpected passenger flow increase make the correct management possibility out of reach of elevator.In order to address the above problem, elevator should consider that the condition in building and characteristic design, thereby reach for the passenger flow that changes suitable operation is arranged.
Yet, have a kind of new system of so-called artificial intelligence based on fuzzy theory that used to be used now, thereby solved the insoluble problem that the control method according to statistics takes place.
As the habitual elevator group management control that is shown in Fig. 1 has comprised: floor call calling mechanism 10 is used to register the floor call from the end user; Car control setup 20 is used to control the driving of each car of elevator; Shipping situation message input device 30 is used for exporting the shipping situation information TI after will handling from the information of the transporting IN of floor call calling mechanism 10 and 20 outputs of car control setup; Grouping management control setup 50 is used for output elevator controling information CO after having received shipping situation information TI; And grouping management control signal output unit 40, be used for grouping management control signal OUT is exported to floor call calling mechanism 10 and car control setup 20.
Grouping management control setup 50, as be shown in Fig. 2, comprising: central processing unit 51; Floor call is distributed control setup 52, is used to control the floor call distribution function; I/O control setup 53 is used for activation interface shipping situation message input device 30 and grouping management control signal output unit 40.
Now explain the operation of habitual elevator group management control method.
At which car of decision be assigned in the various functions at floor call place, main function is that so-called floor call is distributed controllable function, and its decision is predetermined car in the car of readiness.
At the beginning, in passenger flow estimation step S1, be admitted to the I/O control setup 52 of grouping management control setup 50 from the shipping situation information TI of shipping situation message input device 30 outputs.
Shipping situation information TI, for example, include the passenger flow volume that indicates per unit hour ridership in each car, stop and moving direction, the ridership that in each car, is loaded with, car call registration and the number of floor call registration and the controller performance statistical value P at that time of car.
Here, controller performance statistical value P comprises: passenger's average latency; Passenger's maximum latency; The variation ratio of car call registration; And each car walking number of times.
Wherein, the average latency refers to the aviation value that the passenger waits for the time that arrives the designated floor that floor call takes place; Passenger's maximum latency refers to the maxim of passenger's wait time; The car call registration changes than the ratio between the car call of car call that refers to registration and registration recently.
When the information TI of transporting is transfused to, because by previous passenger flow of storing with transport the current passenger flow that information TI obtains and do the index law correction with the index correction, thereby possible passenger flow can be predicted.That is, the passenger flow of prediction can obtain with following formula:
LT1＝(1-β*Told+β*Tnew....................(1)
Wherein, LT1 is a passenger flow forecast, and Told is previous passenger flow of storing, and Tnew is the passenger flow at that time that is obtained by for example shipping situation information T1, and β is the index correction.
After this, in controller performance prediction steps S2, according to passenger flow forecast, the control constant is by the simulation decision.Here, the control constant refers to a ratio, each evaluation item that reflection calculates, and these projects are used for assessing each car performance, and with the operation countermeasure different values are arranged.
Explain in detail that now the application simulation method decides the method for control constant.
At the beginning, determine a predetermined passenger flow to test the performance of elevator group management control, and define the control constant that is suitable for previous setting passenger flow, simulate grouping management again, thereby obtain operation result.After this, change constant, use altered constant to simulate the operation of grouping management again, the constant of stipulating in the time of can obtaining best drive ability by simulating repeatedly, this constant are used to actual packet management control.
In comprehensive valuation functions control step S3, comprehensive assessment function basis transports information TI and above-mentioned constant is operated.Herein, the comprehensive assessment function refers to the function of the evaluation item of each car being done assessment, and which car is designated to be accommodated to the regulation floor that floor call takes place so that decide, and can be expressed as following formula:
E＝Min{θ(e)}
θ(e)＝{A+kb*B)+(kc*C)+...}-(kx*X)+(ky*Y)
Wherein E is a comprehensive assessment minimum of a function value, Min is a minimum value, θ (e) is the comprehensive assessment function of each car, A is for the possible wait time of the passenger of a floor call, B is the statistics at the full car of that floor that floor call is arranged, and C is the statistics of the wait time of passenger's length when distributing floor call, and X stops closeness, Y is that elevator state estimation function and kb, kc, kx, ky are the constants of each estimation items.
That is comprehensive assessment function #, (e) is calculated than kb, kc, kx, ky according to estimation items A, B, C, X, Y and the reflection of each estimation items of above-mentioned each car.Here, the closeness X's that stops is that if the closeness that stops to rise, the walking number of elevator just descends, thereby has reduced power consumption to the assessed value of the distance of each floor gap that floor call takes place.
In the step S4 that the decision car is stopped, decision is corresponding to the car of comprehensive assessment function # (e) minimum value, and elevator controling information CO is outputed in the grouping management output unit 40 goes in order to control selected car.
Be sent to the elevator controling information CO that grouping management control signal output unit 40 goes from grouping management device 50, for example, comprised that elevator door leaves/close instruction; Instruction to each car distribution; The floor call distributed intelligence; Reach control signal to various read out instruments.
Yet,,, can not control passenger flow in real time because the controller performance prediction unit is to decide with the operation that repeats to simulate according to habitual elevator group management control.In addition, owing to directly use the algorithm of comprehensive assessment function, the different distribution of statistical model that the change of passenger flow has and before defined is practically impossible with the optimization of the control constant that causes the grouping management passenger flow.That is, habitual elevator group management control method based on the characteristic in building, use control constant optimization method to solve that problem is subjected to disadvantageous restriction aspect the wide range of applications passenger flow.
Therefore, the purpose of this invention is to provide a kind of improved elevator group management control method, it can be effectively realizes the grouping management control of elevator based on the building of having equipped elevator, selectes the car that will stop accordingly according to predetermined floor call on passenger flow and the fuzzy theory basis different with each building characteristic.
For achieving the above object, a kind of improved elevator group management control method that is provided comprises: passenger flow is collected step, is used for collecting about occurring in the current passenger flow information of each floor call place and car; Passenger flow investigation step is used for investigating in passenger flow and collects the information of collecting in the step; The passenger flow estimation step is used for based on information passenger flow forecast after a specific time of investigating in passenger flow investigation step; The AD HOC discriminating step is used for differentiating the corresponding AD HOC of predicting with the passenger flow estimation step of passenger flow; Set up the step of stopping Control Countermeasure, be used for specifying suitable car to stop according to the AD HOC of in the AD HOC discriminating step, differentiating with by building operating personal predetermined rule and information; Comprehensive assessment function control step is used for as each car being done during floor call the operation of comprehensive assessment function; The step of the car that selection may distribute is used for according at the comprehensive assessment function of comprehensive assessment function control step operation floor call being selected possible assigns car; Control project Value Operations step is used for each the control project input value that may distribute car of selecting in the step of the car of selecting to distribute is operated; And the step of decision distribution car, be used for deciding a car according to the prediction rule of having used each control item purpose input value regulation of in control project Value Operations step, operating.
Purpose of the present invention, feature and advantage will be elaborated in conjunction with the accompanying drawings by embodiment.
Brief Description Of Drawings
Fig. 1 is the block scheme of the elevator group management and control equipment habitually practised.
Fig. 2 is the block scheme according to the grouping management control setup among Fig. 1 of conventional techniques.
Fig. 3 distributes the floor call of control setup to divide the diagram of circuit of distribution controlling method according to the floor call among Fig. 2 of conventional techniques.
Fig. 4 is the diagram of circuit according to elevator group management control method of the present invention.
Fig. 5 is the data structure diagram that is stored in the passenger flow investigation data bank according to of the present invention.
Fig. 6 is the diagram of curves according to the passenger flow forecast method of calculating among Fig. 5 of the present invention.
Fig. 7 is the diagram of circuit according to the AD HOC method of discrimination among Fig. 6 of the present invention.
Fig. 8 is the rule declaration table according to the fuzzy theory that is used for the AD HOC differentiation among Fig. 6 of the present invention.
Fig. 9 is the diagram of circuit that distributes the Control Countermeasure method according to the foundation among Fig. 5 of the present invention.
Figure 10 is according to control project among Fig. 9 of the present invention and the graph of a relation between the assessment level priority.
Figure 11 is the diagram of curves according to the ambiguity function method of adjustment among Fig. 9 of the present invention.
Figure 12 is the regulation rule figure that is applicable to according to the respective function method of adjustment among Figure 11 of the present invention.
Figure 13 represents to be stored in the allocation rule in the distributed intelligence data bank.
During beginning, judge whether current state is passenger flow period (step 00).If the state of being judged is passenger flow period, with regard to execution in step S10.
In step S10, current passenger flow is calculated with each minute and five minutes according to the shipping situation information CO that inputs to it.
Here, the passenger flow volume of collecting in per five minutes be by with each minute gained each passenger flow volume accumulative total and and calculate the aviation value of the passenger flow volume that is added up.
In the middle of shipping situation information CO, the main information to floor call distribution aspect of being used in is the number about ladder and descending stair on each layer; To passenger flow volume upward; The passenger flow volume of downward direction; Concentration degree (Complexity); Current time; Drive ability; And the direction and the stop of each car.
In step S20, by the current passenger flow volume of collecting among the step S10 with in the time the same, obtain with the current time and be stored in investigation in the data bank before passenger flow volume it is deposited in the passenger flow investigation database tdb glibly.After this, the passenger flow in passenger flow is investigated the time the same with the current time in the database tdb is corrected, thereby finishes the investigation to current passenger flow.
Gained passenger flow difference per hour, however the characteristic of the passenger flow of unit hour periodically repeats.Therefore, if with said method investigation passenger flow, we can obtain a predetermined characteristics and be used as elevator operation so second after second, so can estimate suitable passenger flow with above characteristic.
About being stored in the information of passenger flow in the passenger flow investigation database tdb, as shown in Fig. 5 A, be the information that obtains by the investigation of finishing in every day, it is made up of the information of investigation in per five minutes.In addition, the information by investigation in five minutes obtains shown in Fig. 5 B, is made of passenger flow information and statistical information.
Above passenger flow information is meant that the upper and lower terraced number of each car and each layer and passenger's average latency, passenger wait as long for the time that statistics, each cage operation number of times and elevator door close/open.
In step S30, one minute later passenger flow is that the information according to the relevant current passenger flow of investigating in step S20 obtains.Here, estimate that correctly the function of possible passenger flow becomes the radical function of decision elevator group management control.
The method of passenger flow after one minute predicted is consulted Fig. 6 now and is explained according to current passenger flow of collecting in step S10 and the passenger flow volume that deposited passenger flow investigation data bank in step S20 in previous per five minutes in.
The passenger flow of storing later in five minutes can be expressed as following equation:
Tpre＝(1-α)*Told+α*Tnow
Wherein Tnow is current passenger flow, and Told is the passenger flow of passing by in that time of passenger flow forecast Tpre, and α is the ratio of past passenger flow Told and current passenger flow Tnow, has the certain value between 0 and 1, and the as prescribed algorithm changes.
Obtain according to passenger flow information Tpre for the passenger flow PWP in the specified time of prediction from current time t to time t+1.Therefore, the face of blacking is the passenger flow PWP of prediction after 1 minute.
In step S40, differentiate according to the fuzzy rule that is stored among the AD HOC identification fuzzy rule data bank BKB corresponding to the passenger flow AD HOC of the passenger flow PWP that in step S30, predicts.
In addition, the passenger flow AD HOC refers to the prescribed model that limits passenger flow, because various passenger flows are arranged.
Explain the step of differentiating the passenger flow AD HOC now.
Generally, can be divided into following three kinds by the passenger flow basic feature of obtaining in a day.
First kind, it is characterized in that the concentrated upward ladder of certain floor and common floor distribution descending stair, when this appears at working usually and after the lunchtime.
Second kind, it is characterized in that common floor distributes to go up ladder and certain floor is concentrated descending stair that this appears at when coming off duty and before the lunchtime usually.
The third is characterized in that common floor distribution upward ladder and common floor distribution descending stair, and this appears in usual daytime usually.
According to these characteristics, can obtain following pattern: the pattern that pattern, the pattern of coming off duty, busy pattern and special floor are concentrated after underloading pattern, working pattern, general mode, ante prandium pattern, the lunch.
In these patterns, underloading pattern and working pattern will be explained in more detail.
The underloading pattern is characterized by the upward ladder that has only less total passenger capacity and do not concentrate, and refers in the midnight or the moment in morning, and use the people of elevator few this moment.
Also have, the working pattern is characterized by ladder on predetermined floor is concentrated and at each layer distribution descending stair, refers to the moment that is on duty.
In order to judge the AD HOC of current passenger flow, use the least square comparison method according to habitual technology usually.Wherein, the passenger flow of calculating each current passenger flow is near the AD HOC of level and previous definition, thereby the AD HOC of current passenger flow is used near level and judged.
Yet, if the good regulation passenger flow of predefined corresponding to associative mode, according to have comply with can not be correct in the passenger flow of the various characteristics in building because variety of issue is arranged the control elevator, the present invention is applicable to the fuzzy theory of the AD HOC recognition rule that adopts in order to differentiate AD HOC.
Consult the step S40 that Fig. 7 and 8 explains the differentiation AD HOC that adopts fuzzy theory now.
In step S41, the passenger flow of input step S30, and detection inputs to the discrete cell value of its passenger flow PWP.The example of discrete cell value is as follows:
-total passenger capacity: to the total number of persons of direction up and down of using escalator in a minute.
-concentrate the ascending stair amount: total passenger capacity and at concentrated floor (Complexity floor) seating capacity's ratio.
-concentrate the descending stair amount: total passenger capacity and at the ratio of concentrating descending stair floor descending stair number.
-distribution ascending stair amount: total passenger capacity and except at the ratio of concentrating the ascending stair number the boading floor ascending stair number.
-distribution descending stair amount: total passenger capacity and except at the ratio of concentrating the descending stair number the descending stair floor descending stair number.
-the current time.
The AD HOC of the passenger flow in-past.
Wherein, ascending stair concentrates floor to be meant the floor that generation is concentrated, and descending stair concentrates floor to be meant the floor that generation is concentrated.
In step S42, the blur estimation method is meant to have used the discrete cell value that detects and be stored in fuzzy rule among the AD HOC identification fuzzy rule data bank BKB in step S42 estimates AD HOC corresponding to passenger flow forecast.
The blur estimation method is known technical personnel, so its description is omitted.Be meant minimum-maximum Evaluation Method that Mandadi E.H. teaches based on the Evaluation Method blur estimation method and that be used among the present invention.
An example that is stored in the fuzzy theory among the AD HOC identification fuzzy rule data bank BKB is narrated in Fig. 8.Having, the AD HOC of high satisfaction is to be decided by the AD HOC of transporting floor corresponding to prediction.
In step S50, distribute for specifying a suitable car, according to the requested database SDB of the passenger flow PWP of prediction, the AD HOC that in step S42, determines, building operating personal with set up Control Countermeasure database of information CKB and set the distribution Control Countermeasure.
Consult Fig. 9 to 13 now and be interpreted as setting up the step S50 that distributes Control Countermeasure.
Consult Fig. 9, in step S51, judge the centrality of the passenger flow PWP that in step S30, predicts.In addition, if the centrality of judging is low there, then the assessment level priority of being set by the building manager (priority) is applicable to this, if the centrality level is high, the assessment level priority of being set by the grouping management expert is applicable to this.
Here, assessment level refers to and is used in the criterion of assessment to the performance of the grouping management control method of elevator.Condition that each assessment level will satisfy and example are:
-passenger the average latency should lack
-passenger waits as long for statistics should be low
-power consumption should be low
-passenger should lack the average ascending stair descending stair time
-forecast precision should be high
-centrality degree should be low
Wherein, passenger's high latency is meant and surpasses one minute that the passenger is meant the used time of car in an appointment of designated floor ascending stair/descending stair the average ascending stair descending stair time.Desirable herein elevator satisfies condition like this, yet owing to wherein have combined or opposite condition, in fact all conditions of assessment level can not all satisfy.
So according to the use in building, each assessment level priority should be discerned by the building manager, because the performance of elevator group management control is comply with the use in the building.
For example, to office block, passenger's average latency, passenger's the average ascending stair/descending stair time that waits as long for statistics and passenger should be assessed as prior factor.To the building, restaurant, power consumption, forecast precision ratio and centrality should be emphatically as prior factors.
Should deposit among the gerentocratic requested database SDB in building about the information of the elevator operational plan that contains the assessment level priority of determining by the building manager with about the information of floor.
In step S52, the decision of priority is to make on the basis of assessment priority according to the judgement of step S51 and the AD HOC judged in step S40.
This project comprises the floor call wait time, maximum floor Call Waiting time, possible ascending stair upwards of movement, the passenger flow volume disposing capacity, car intensity, and load centralization, wherein the floor wait time refers to from scheduled floor to the predetermined used time of floor of floor call takes place; The maximum floor Call Waiting time refers to the maximum time in the floor call wait time; Possible ascending stair upwards of movement refers to climb up the patronage of the assigns car that arrives the designated floor that floor call takes place, and this number is that the number of the actual ascending stair of deduction from maximum capacity is calculated; The degree of that prescribed direction on the equidirectional that the intensity of distributing is meant that predetermined floor call is focused on each car will distribute, if the intensity of Fen Peiing is high herein, passenger's wait time shortens on each layer, thereby the error rate of statistics uprises; The load centralization degree refers to the summation of the floor call number of each car distribution.In addition, safety distance refers to will arrive at the appointed time from current location the distance of assigned position.Spendable upwards of movement refers to the summation to each car possible ascending stair passenger flow volume on safety distance.Predict that the ascending stair passenger flow volume refers to the ascending stair passenger flow volume of predicting in specific time on every layer.At this moment, the passenger flow volume managerial ability refers to the spendable ratio that transports passenger flow volume to possible ascending stair passenger flow volume.When the passenger concentrates on certain one deck, floor call wait time and possible ascending stair amount are selected as principal element.When AD HOC is the underloading pattern, that is, passenger flow is very little, and allocation set neutrality or load centralization should be chosen as principal element, is minimum so that make power consumption.
As mentioned above, control item purpose priority is suitable for the AD HOC of passenger flow with the characteristic in building with having nothing in common with each other, thereby has improved the performance of elevator group management control.
Consult Figure 10, the priority of each assessment level can be influential to a plurality of control projects, in this case, is control item purpose priority to the priority that is combined into combination in the influential assessment level of each control project.
For example, the passenger's average latency priority in the assessment level has influence on the floor call wait time in the control project, maximum floor Call Waiting time and possible ascending stair upwards of movement.That is, floor call wait time, maximum floor Call Waiting time, possible ascending stair amount should surpass the level of a regulation after floor call is distributed, so that passenger's average latency priority can reach the prescribed level that the building manager wishes.
In step S53, each control item purpose ambiguity function can be adjusted by each the control item purpose priority that determines in step S52, thereby changes the standard of control item purpose value.
Here, ambiguity function is a function of having represented the relation between fuzz variable value and the control item value, and fuzz variable is divided into the function of two kinds of expressions " less or bigger ".Ambiguity function is summed up as the prescribed function G1 of a kind of being expressed as " less " value and the prescribed function G2 of a kind of being expressed as " bigger " value.
Consult Figure 11 now and explain the method for adjustment of respectively controlling the project ambiguity function.
At the beginning, for the control project of appointment, if this control item purpose priority is increased, then ambiguity function G1 and G2 are moved to the left.Like this, after ambiguity function G1 so moved, the fuzzy value S1 after ambiguity function G1 moves became less than fuzzy value S.Fuzzy value L1 after ambiguity function G2 moves becomes and moves preceding fuzzy value L greater than ambiguity function G2.
Therefore, control item purpose value X is to have increased compared with the value before ambiguity function G1 and the G2 adjustment.
For example, for the control project, if its value is less better, as the floor call wait time, if its priority is bigger, ambiguity function is to moving to left.
Figure 12 has represented the example about the rule of adjusting respective function, and this rule is stored in and sets up among the Control Countermeasure information database CKB.
In the control flow according to elevator group management control method of the present invention, the processing from step S00 to step S50 was carried out repeatedly with phase weekly, and it is known as the necessary preparation treatment step of decision car.
Simultaneously, when the state of judging at step S00 was not transporting and studying and judging in the scope in period, step S60 was performed.
In step S60, judge whether and to distribute floor call, if floor distribution is essential, with regard to execution in step S70.
In step S70, calculate the comprehensive assessment function.
Because the method for operation of comprehensive assessment function is with of the prior art the same, it narrates omission.
In step S80, a plurality of cars that may distribute are selected according to each car comprehensive assessment function phi (e) of operating in step S70.
In habitual elevator group management control method, comprehensive assessment function phi (e) is carried out computing by car one by one, selects to have the car of computing minimum again.Yet elevator group management control method of the present invention is selected a plurality of cars that may distribute from the result of the computing gained of comprehensive assessment function.
The process of the car that selection may distribute can be expressed as following equation:
E(k)＝μ(i){Φ(e)}
Wherein E (k) is the set that is chosen as the car that may distribute car, and μ (i) is the set from Φ (e) the decision car number of being given " i ".
Here, two above cars with minimum comprehensive assessment functional value are selected as the car of possible distribution, and the car that has suitable maximum floor Call Waiting time and possibility ascending stair passenger flow volume assessed value in remaining car is additionally selected as the car that may distribute.
It is any possibility that prevents to decide according to shipping conditions the optimal allocation car that additional selection may distribute the reason of car, although the additional car of selecting has only comprehensive assessment function preferably than other car, but it has best individual event assessment level.
At step S90, for the possible distribution car of selecting in step S80, the control item purpose input value of narrating in step S52 is operated.Control project input value is operated in control item purpose input value.Control project input value can be chosen as under the possible car situation at each car of hypothesis and operate.
In addition, the used upwards of movement to the car that may distribute calculates when having considered the car call condition of new floor call and expectation.
In step S100, assess according to each control item purpose input value of in step S90, operating according to being stored in each car that distributes the Rules of Assessment among the car information data bank AKB to distribute.
Yet, for the best-evaluated of car, used two class fuzzy input variables of higher priority value and lower priority, every kind of fuzz variable comprises three kinds of grades: " good ", " common " reach " poor ".
Six kinds of control projects are divided into several control projects corresponding to higher priority and lower priority according to the order of control project priority.
In addition, the control item purpose priority that each control item purpose input value of operating in step S90 is set up in step S52 by the accumulative total conduct, and which value whether the average cumulative value is evaluated has reach satisfactory level to the higher and lower priority that may distribute car, and the car of final assignment decides with the satisfactory level of low priority and the Rules of Assessment that is stored among the distributed intelligence data bank AKB according to high thus.
Consult Figure 13, show an example that is stored in the Rules of Assessment among the distributed intelligence data bank AKB.Rules of Assessment is assessed tree structure suddenly by multistep and is constituted.Can reach the best information structure of the best car that can select to have high priority and satisfactory level.In the rapid evaluation structure of multistep, when selecting a suitable car, remaining step is not just carried out.
As mentioned above, because use fuzzy theory and can adapt to various requirements based on the building characteristic to the possible car of floor call assessment.Elevator group management control method of the present invention has the effect of handling the elevator group management according to the building characteristic reposefully.
Claims (12)
1, a kind of elevator group management control method is characterized in that, may further comprise the steps:
Passenger flow is collected step, is used for collecting about occurring in the current passenger flow information in each floor call place and the car;
Passenger flow investigation step is used for investigating in passenger flow and collects the information of collecting in the step;
The passenger flow estimation step is used for predicting the information of investigating based in passenger flow investigation step, passenger flow after a specified time;
The AD HOC discriminating step is used for differentiating the corresponding AD HOC of predicting with the passenger flow estimation step of passenger flow;
Set up the step of distributing Control Countermeasure, be used for according to the AD HOC of in the AD HOC discriminating step, differentiating with by building manager's predetermined rule and the suitable car of information assign;
Comprehensive assessment function control step is used for when floor call takes place each car being done the operation of comprehensive assessment function;
The step of the car that selection may distribute is used for according at the comprehensive assessment function of comprehensive assessment function control step operation floor call being selected possible assigns car;
Control project Value Operations step is used for each the control project input value that may distribute car of selecting in the step of the car of selecting to distribute is operated; And
The step of the car that decision distributes is used for deciding a car according to the prediction rule of having used each control item purpose input value regulation of operating in control project Value Operations step.
According to the method for claim 1, it is characterized in that 2, the information of investigating is deposited in data bank by each specified time day by day in described passenger flow investigation step.
According to the method for claim 1, it is characterized in that 3, the AD HOC of differentiating uses the discrete cell value of the passenger flow of predicting to assess according to specified rule in the passenger flow estimation step in described AD HOC discriminating step.
According to the method for claim 3, it is characterized in that 4, described discrete cell value comprises total passenger capacity, concentrated passenger capacity, distribution passenger capacity, current time and past passenger flow pattern.
According to the method for claim 1, it is characterized in that 5, described foundation distributes the Control Countermeasure step to carry out in the following manner: the priority of using each assessment level that the passenger flow predicted and building manager's combination sets up selectively in the passenger flow estimation step; From the priority of each assessment level, determine a topmost priority; And the control item purpose priority that application is determined determines control item purpose value.
6, according to the method for claim 5, it is characterized in that the priority of described each assessment level comprises: average latency priority, wait as long for rate priority, power consumption priority, average using escalator time priority level, forecast precision than priority, and centrality priority.
According to the method for claim 5, it is characterized in that 7, described control project comprises: floor call wait time, maximum floor Call Waiting time, possible ascending stair capacity, car concentration degree, and load centralization degree.
8, according to the method for claim 1, it is characterized in that selecting the car that may distribute selected in the step at the described car that may distribute is at the comprehensive assessment function car that possesses its maximum floor Call Waiting time in the elevator of minimum value and other elevator and suitable assessed value may the ascending stair passenger flow volume be arranged to be arranged.
According to the method for claim 1, it is characterized in that 9, described decision distributes the car step to point to: the control project is divided into high priority bank and low priority group so that the car that assessment may distribute; Decide the car that may distribute by the predetermined rule application high priority value and the satisfactory level value of low priority; And determine a car according to the result who is assessed.
According to the method for claim 9, it is characterized in that 10, the satisfactory level of described high priority and low priority respectively comprises, poor and common level.
11, according to the method for claim 9, it is characterized in that the satisfactory level of described high priority and low priority is added to by the project of respectively the controlling input value that will operate and goes in the control project priority and produce its aviation value to obtain in control project Value Operations step.
According to the method for claim 5, it is characterized in that 12, the priority of described control item is respectively controlled the project respective function and obtains to the direction of needs by moving.
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| KR1019940002459A KR960011574B1 (en) | 1994-02-08 | 1994-02-08 | Elevator group control method and device |
| KR2459/94 | 1994-02-08 |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN1112900A CN1112900A (en) | 1995-12-06 |
| CN1047997C true CN1047997C (en) | 2000-01-05 |
Family
ID=19377078
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN95102914A Expired - Fee Related CN1047997C (en) | 1994-02-08 | 1995-02-08 | Elevator grouping management control method |
Country Status (7)
| Country | Link |
|---|---|
| US (1) | US5679932A (en) |
| JP (1) | JP2860261B2 (en) |
| KR (1) | KR960011574B1 (en) |
| CN (1) | CN1047997C (en) |
| GB (1) | GB2286468B (en) |
| SG (1) | SG52649A1 (en) |
| TW (1) | TW381199B (en) |
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Also Published As
| Publication number | Publication date |
|---|---|
| GB9502462D0 (en) | 1995-03-29 |
| SG52649A1 (en) | 1998-09-28 |
| GB2286468A (en) | 1995-08-16 |
| US5679932A (en) | 1997-10-21 |
| CN1112900A (en) | 1995-12-06 |
| GB2286468B (en) | 1998-02-04 |
| KR960011574B1 (en) | 1996-08-24 |
| JP2860261B2 (en) | 1999-02-24 |
| KR950024962A (en) | 1995-09-15 |
| JPH07252035A (en) | 1995-10-03 |
| TW381199B (en) | 2000-02-01 |
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